摘要
采用人均GDP数据,利用泰尔指数对最优研究尺度进行分析选择;然后综合运用探索性空间分析方法和空间马尔科夫(Markov)模型,对湖北省近20年经济差异时空演变格局进行分析.研究发现:(1)县级尺度能更好地反映研究区域经济差异的变化.(2)研究区域县域经济发展水平具有显著空间自相关,其空间集聚程度研究期间存在变大、变小和持续变大的波动,两极分化趋势明显,区域经济差异扩大;经济发达的热点区主要集中在宜昌市和武汉市市辖区周边,"低-低"区则主要分布在鄂西北、鄂西南以及鄂东的黄冈个别县市等边缘区域,呈现出核心与外围的特征.(3)不同研究单元保持自身经济水平状态的可能性最大,且低水平区域最稳定;邻域背景对县域经济发展具有显著影响,但影响方式有所差异;4种经济发展水平类型的稳定性有差异,中等水平区域较活跃;初始状态对区域经济发展具有重要作用,不存在经济水平的跨越式转移.
Based on per capita GDP data,Theil index was used to analyze and select the optimal studyingscale.Then exploratory spatial data analysis method and spatial-markov model were comprehensively applied in research on the evolution pattern of regional economy disparities in Hubei province in recent 20 years.The results show that:1)county level scale performs better on reflecting the variation of regional economy disparities in Hubei Province;2)the spatial agglomeration degree of county economy development in Hubei Province fluctuates with time in three stages including enlarging,diminishing and continuously enlarging;the trend of polarization phenomenon is prominent,and the regional economic differences have expanding tendency;devoloped hot spot areas mainly concentrate around Yichang and Wuhan municipal districts,whereas"low-low"areas are mostly distributed in the edge of the province such as the northwest,southwest and several counties in Huanggang,indicating the divergency between core and periphery;3)counties in Hubei Province tend to keep their own economic states,and low level areas are most stable;neighborhood background has significant but diverse effect on development of county economy;four types of economic development zone differ in stability,among which medium level regions are much more active;initial state plays an important role in regional economic development,and there is no regional economic types transferring by leaps and bounds.
出处
《华中师范大学学报(自然科学版)》
CAS
北大核心
2016年第1期105-111,共7页
Journal of Central China Normal University:Natural Sciences
基金
国家基础科学人才培养基金科研能力训练项目(J1103409)
教育部人文社会科学研究青年基金项目(14YJC630216)